Major technology giants are pouring vast sums into AI infrastructure and development. Among them, Amazon aims to invest over $200 billion this year—the highest compared to other big tech firms. Combined, the four major tech companies Alphabet, Amazon, Meta, and Microsoft plan to invest a total of $725 billion in 2026.
This has sparked a key debate among investors: "Will these tech companies be able to generate returns that justify such massive investments?"
Andy Jassy, CEO of Amazon, made it clear that "Amazon’s huge AI investment should not worry investors; it is aimed at creating long-term returns." He also emphasized that "AI represents the biggest technological transformation of our lifetime."
Looking back to 30 April, Amazon reported its Q1 2026 earnings, showing revenue exceeding analysts’ expectations, especially from its cloud business which grew 28%. They also confirmed that this year’s capital expenditure (CapEx) budget would exceed $200 billion.
This figure is higher than any other technology competitor and represents nearly a 60% increase from the previous year.
Earlier, CEO Andy Jassy sent a letter to shareholders explaining that "The company’s massive investment in AI is worthwhile and will form the foundation for future growth."
"We are not playing it safe; we are investing to be the true leader and build the business of the future. Our operating profits and cash flows will grow significantly from this." Jassy stated in the shareholder letter.
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However, some analysts have noted that the company may have negative free cash flow in 2026, according to FactSet forecasts. Jassy holds a different view, believing the scale of investment reflects huge opportunities.
A McKinsey & Company survey found that 94% of organizations "do not yet see clear value" from AI investments, while a Dataiku survey indicated that over two-thirds of executives might "stop or reduce AI budgets" if financial targets are not met by mid-year.
This phenomenon is called the "Profit Paradox" or the "paradox of profits." Optimists argue AI is improving efficiency and remind that many big tech firms operated at losses for long periods before turning profitable. Pessimists point out that history is full of technology bubbles, such as the 19th-century railroad boom and the late 1990s dot-com bubble.
Regarding cash flow concerns, Jassy directly rebutted, saying many investors misunderstand the business model. "We have to invest upfront before generating revenue from it," he explained. "Especially investments in data centers and infrastructure that take years to start generating income."
He pointed to the growth rate of Amazon Web Services (AWS) to illustrate that the company is investing wisely, saying, "In just the first three years of this new AI investment, we have a run rate revenue exceeding $15 billion, 260 times greater than AWS’s first three years."
"When faced with such a major transformation... you have to make bold bets," Andy Jassy told CNBC.
However, some AI business models remain questionable. For example, OpenAI and Anthropic continue to burn cash heavily, relying on external funding and have yet to turn a profit. Hyperscalers differ as they earn profits from existing businesses but still need to borrow heavily. Bloomberg reports AI-related debt has surpassed $300 billion.
FactSet forecasts AWS will generate about $166 billion in revenue this year. Still, the CEO sees these assets as long-lived, enabling Amazon to earn sustained returns over the long term.
"As revenue growth starts to catch up with investment growth, you'll see significant improvements in operating margin, free cash flow, and return on invested capital (ROIC)."
"We’ve seen this before in AWS’s initial wave, and I believe it will happen again—only this time with much larger revenue and cash flow in the future," Andy Jassy said.
Source:CNBC,The New Yorker
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